Results 91 to 100 of about 7,785 (183)

Accelerated Weka: GPU Machine Learning with Weka Workbench

Neurocomputing
Guilherme Weigert Cassales, Justin Jia Liu, Albert Bifet   +2 more
openaire   +1 more source

Acquisition of multi voxel size X-ray computed tomography and optical microscopy image datasets of a thermoplastic CFRP tape. [PDF]

Data Brief
Boos B, Gomarasca S, Tao R, Queck C, Hosseini SMA, Dransfeld C, Gurka M.   +6 more
europepmc   +1 more source

Traditional machine learning in biomedical image analysis: before you go too deep. [PDF]

Front Artif Intell
Chechekhina E, Voloshin N, Solopov M, Tyurin-Kuzmin P, Kulebyakin K.   +4 more
europepmc   +1 more source

Machine Learning-Assisted Quantification of Organelle Abundance. [PDF]

Bio Protoc
Long AJ, Candeias D, Coveña NF, Reymond L, Schuhmacher M, Kemp S, Hamilton N, Amen T.   +7 more
europepmc   +1 more source

Exploratory Machine Learning Analysis of circRNA-Derived Molecular Features in Autism Spectrum Disorder. [PDF]

Noncoding RNA
Sharda R, Kouznetsova VL, Tsigelny IF.
europepmc   +1 more source

Automated Analysis of the Foveal Avascular Zone in Optical Coherence Tomography Angiography Before and After Phacoemulsification. [PDF]

J Clin Med
Pighin MS, Tsiroukis E, Dyrda A, Jürgens I.   +3 more
europepmc   +1 more source

Helix 1.0: An open-source framework for reproducible and interpretable machine learning on tabular scientific data. [PDF]

Patterns (N Y)
Aguilar-Bejarano E, Lea D, Sivakumar K, Mase JM, Omidvar R, Li R, Kettle T, Mitchell-White J, Alexander MR, Winkler DA, Figueredo G.   +10 more
europepmc   +1 more source

Quantifying post-treatment vascular remodeling in brain aneurysms using WEKA-based machine learning: a pilot study. [PDF]

Front Neurol
Rotim A, Raguž M, Fulir N, Orešković D, Kalousek V, Marčinković P, Rotim K, Splavski B, Soldo SB, Sajko T.   +9 more
europepmc   +1 more source

Multi-Scale Quality Evaluation of Road Markings from Glass Bead Distribution: A Novel GSMTA Framework. [PDF]

Materials (Basel)
Lu X, Guo H, He R, Wu H, Li L, Hu J.
europepmc   +1 more source

Machine Learning-Based QSAR Models for Discovery of Inhibitors Targeting <i>Leishmania infantum</i> Amastigotes. [PDF]

Pharmaceuticals (Basel)
Flores-Balmaseda N, Rojas-Vargas JA, Rojas-Socarrás S, Pérez-Giménez F, Torrens F, Castillo-Garit JA.   +5 more
europepmc   +1 more source